ABSTRACT
Computing continues to make a significant impact on biology. A variety of computational techniques have allowed rapid developments in design of experiments as well as collection, storage and analysis of experimental data. These developments have and are leading to novel insights into a variety of biological processes. The strength of computing in biology, however, comes from the ability to investigate those aspects of biological processes that are either difficult or are beyond the reach of experimental techniques. Particularly in the last three decades, availability of increasing computing power has had a significant impact on the fundamental understanding of the biomolecules at the molecular level. Molecular biochemists and biophysicists, through theoretical multi-scale modeling and computational simulations, have been able to obtain atomistic level understanding of biomolecular structure, dynamics,
folding and function. The protein-folding problem, in particular, has attracted considerable interest from a variety of researchers and simulation scientists. However, it still remains an unsolved problem of modern computational biology. The lack of sufficient computing power has been commonly cited as the main factor holding back progress in the area of computational molecular biochemistry/biophysics.
